AI Agents in Defensive Security

Jerry Huang, Ken Huang () and Chris Hughes
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Jerry Huang: The University of Chicago
Ken Huang: DistributedApps.ai
Chris Hughes: Aquia

Chapter Chapter 7 in Agentic AI, 2025, pp 207-236 from Springer

Abstract: Abstract This chapter explores the role of AI agents in defensive cybersecurity. The discussion covers core functions of AI agents, architectural considerations, capabilities and benefits, implementation challenges, and real-world case studies. We also discussed the integration of AI agents with existing security frameworks, agent’s autonomous decision-making capabilities, and the crucial balance between automation and human oversight. The chapter also explores training environments, emerging trends, and future developments in the field of defensive AI security.

Keywords: Autonomous cyber defense; AI security agents; Multi-agent Systems (MAS); Security Information and Event Management (SIEM); Reinforcement learning; Threat detection; Incident response automation; Risk mitigation; Security Operations Center (SOC) automation; Cyber deception technology (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-031-90026-6_7

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DOI: 10.1007/978-3-031-90026-6_7

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